SEED Madagascar is a British Charity working in partnership with communities in the southeast of Madagascar.
Integrates community health, livelihoods, education infrastructure, and conservation programmes to support sustainable change.
Contributes to international best practice through research and publication across all programmatic areas.
Location: Remote – based anywhere in the world
Time Zone: East Africa Time
Timeframe: 6 months extendable – flexible 1-2 days a week
Contract: Voluntary, unsalaried
Duties and Responsibilities
Receive data from the team and researchers in Madagascar and take responsibility for organizing, cleaning, and inputting data.
Provide feedback to the team with recommendations for data quality improvements and learning.
Support initial analysis across the range of data collected when required.
Collaborate with the wider SEED team in inputting data and analysis into technical reports.
Liaise with the SEED communications team to highlight data findings through social media.
Perform any other tasks the Programme Manager deems necessary within the broad remit of this role.
Qualifications
Hold or be studying towards an undergraduate or postgraduate degree in or relating to conservation, development, or have comparable field experience.
Experience inputting and managing datasets.
Experience applying software, preferably R or Python, for data manipulation and analysis.
Proven high standard of written and verbal communication and editing skills.
Understanding of and commitment to SEED’s ethos and approach; be a good ambassador for the organisation at all times.
Punctual and able to work to tight deadlines in an organised manner and to a high standard.
Ability to work well under pressure to targets and deadlines.
Proactive, creative, and resourceful.
Experience of collaborative team working and able to work independently.
Excellent listening and verbal communication skills, with a flexible and patient attitude.
Proficiency in Microsoft Office, particularly Word, Excel, and PowerPoint.
Proficiency in data analysis and statistical modelling.
Be able to financially support themselves for the duration of the internship as there is no stipend available for travel.
Application Process
Interested applicants should send a CV and covering letter outlining how their skills and experience match the role requirements and detailing why they wish to be considered.
